paper
2022
Observations & remote sensing
New model or method
Classical ML (trees, GP, linear, kernels) Journal
2022-04-01
012
Apr 2022
A. A. Filei, Alexander I. Andreev, Кучма Михаил Олегович et al.
Russian Meteorology and Hydrology
A neural network retrieves total precipitable water from Meteor-M No. 2-2 MTVZA-GYa microwave data, with RMSE under 3 mm over water versus radiosondes and AERONET.
Retrieval of Total Precipitable Water from Meteor-M No. 2-2 MTVZA-GYa Data Using a Neural Network Algorithm
In one sentence. A neural network retrieves total precipitable water from Meteor-M No. 2-2 MTVZA-GYa microwave data, with RMSE under 3 mm over water versus radiosondes and AERONET.
Labels
- Topic
- Observations & remote sensing
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Domain
- Regional
- Data
- Satellite, Station / in-situ, NWP analysis or forecasts (IFS, GFS, ...)
- Status
- Research
- Identifiers
- DOI:10.3103/s1068373922040033 OpenAlex:W4288071009
- Added
- 2026-10-22
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